Depth Assisted Palm Region Extraction Using the Kinect v2 Sensor
Why this work is in the frame
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Bibliographic record
Abstract
This paper evaluates the feasibility of using the fusion of multispectral data from a Kinect v2 sensor as a way to extract the palm region of hand in an unconstrained environment. The depth data was used to both track the hand and extract palm regions. This extracted palm region was then used to extract the palm region in the RGB and Near Infrared data. One of the underlying goals was to maintain real time performance and as such relatively simple techniques such as using a sliding window were used. The lower boundary of the usable frames extracted was 50%, while in the case when the user is positioned directly in front of the sensor with hands extended outward from the body, the percentage of usable frames reached 75%.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it